摘要
风电并网容量的快速增长及电网的大规模、远距离互联,使得电力系统的电压安全问题面临着前所未有的挑战。提出一种基于解析灵敏度的电力系统低压切负荷优化控制方法。首先由节点网络矩阵方程,推导用于在线识别切负荷点集和切负荷量的解析灵敏度指标。然后基于切负荷灵敏度指标,提出用于在线形成切负荷点集的两阶段方法。通过分段,避免了对全局信息的依赖,从而使切负荷点集的形成及切负荷控制策略的生成和实施仅需要局部量测信息,增强了实用性。最后,给出基于解析灵敏度的低压切负荷优化控制模型及计算流程,并通过IEEE 30节点系统和实际电力系统进行了算例分析和验证。
With the rapid growth of wind power and large-scale grid interconnections over long distances, power system voltage security faces an unprecedented and increasingly severe challenge. This paper proposed an analytical sensitivity based undervoltage load shedding method. Firstly, based on the node voltage matrix equations, an analytical sensitivity index was derived for online identification of load shedding locations and amounts. Secondly, a two-stage scheme, based on the sensitivity index, was proposed for online determination of a few key load shedding locations. Using this scheme, only local measurements were needed to determine the load shedding locations and further the load shedding amounts. Finally, the optimal load shedding formulation and solution procedures were given. Case studies were conducted on the IEEE 30 bus test system and a practical power system to demonstrat the effectiveness of the proposed index and approaches.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2013年第28期67-73,11,共7页
Proceedings of the CSEE
基金
国家电网公司资助项目(SGCC-MPLG023-2012)
国家高新技术研究发展计划(863计划)重大项目(2011AA05A105)~~
关键词
电力系统
低压减载
解析灵敏度
两阶段策略
局部量测
power systems
undervoltage load shedding
analytical sensitivity
two-stage scheme
local measurements
